01Three Advancement Paths
- Lead by the Chain Master: The chain master enterprise leads the transformation first, then disseminates standards to upstream and downstream partners.
- Platform Services: Training and tool services are procured centrally by the park or operator; enterprises use them on demand.
- Talent Development: First train local instructors and implementers, then deploy to enterprises one by one.
02Common Challenges
First, there's a cognitive gap: leadership and execution teams have misaligned expectations for AI, leading to top-down enthusiasm that fails to resonate at the operational level.
Second, weak data foundations: many enterprises still rely on paper records and spreadsheets managed by individuals, preventing AI integration.
Third, there is a lack of long-term mechanisms. Without follow-up after one-time training, results are hard to sustain.
03Viable launch strategies
Start with one or two specific scenarios, such as product content creation or customer support, to deliver visible results before expanding to other areas.
Establish a regional case-sharing mechanism so companies can learn from each other's practices, driving change more effectively than external coaching.
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